Are you experienced within financial services and have strong analytical skills? Then you found the right position for you!
As a Data Management Associate, within the Chief Data Office (CDO), you will be focused on delivering business impact through transformation of Data Quality management. You will be required to work with stakeholders across the Commercial and Investment Bank (CIB), other Line Of Businesses (LOBs) and Corporate Functions to ensure fit-for-purpose data, looking to leverage best practices across the industry and other J.P. Morgan business units. This is an outstanding opportunity for you to join a high-profile team at JPMorgan Chase and take a partnership role, supporting one of the Bank’s most significant change programs.
Job Responsibilities
1. Implements and supports Data Quality (DQ) practices across the CIB, in support of the Firm’s broader efforts around BCBS 239.
2. Discovers and documents data lineage to trace the end-to-end data journey from point of creation to consumption to support regulatory requirements, e.g. BCBS 239.
3. Partners with operations, technology and product control organizations to document data quality controls across the data lineage for critical data flows.
4. Builds strong partnerships across CIB sub-LOBs and corporate functions to support data quality efforts.
5. Provides data quality advisory services on specific high-profile data issues/initiatives through focused project management and deep business analysis.
6. Accelerates data quality issue level root cause analysis and resolution through effective program governance, process/data mapping and data deep-dives.
7. Queries data-marts/data-stores to extract knowledge and actionable insights to identify root cause of issues.
8. Discusses and agrees on technical resolutions with technology teams to remediate DQ issues.
9. Leverages productivity tools such as Alteryx and visualization tools such as Tableau/Qlikview to analyze large datasets to draw inferences.
Required Qualifications, Capabilities, and Skills
1. Experience in financial services with data analytics / data management / project management/ business analysis background.
2. Strong understanding of data governance, data quality, data lineage and metadata management concepts.
3. Experience in working on projects and programs focused on data quality, data lineage, data control documentation and metadata management.
4. Excellent analytical and problem-solving skills. Capacity to think laterally and convey an understanding of the big picture.
5. Proficiency in manipulating and analyzing large data sets in Excel (pivots, formulas, charts, etc.).
6. Excellent communication, presentation (both oral and written) & influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority across Corporate/Firmwide, Finance, Risk, Compliance, Operations and Technology teams.
7. Self-starter, able to work autonomously, with strong time management skills; efficient at multi-tasking and able to work under pressure to deliver multiple business demands on-time, to a high standard.
8. Basic understanding of the company's business practices and familiarity with the company's products and services.
Preferred Qualifications, Capabilities, and Skills
1. Experience in a CDO or Data Quality organization within an investment bank or large financial services firm.
2. Experience in querying database/data stores for data analysis.
3. Experience in producing PowerPoint presentations for senior audiences.
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